Articles | Volume 22, issue 22
https://doi.org/10.5194/acp-22-14893-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-14893-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Winter brown carbon over six of China's megacities: light absorption, molecular characterization, and improved source apportionment revealed by multilayer perceptron neural network
Diwei Wang
Department of Environmental Science and Engineering, Xi'an Jiaotong
University, Xi'an 710049, China
Department of Environmental Science and Engineering, Xi'an Jiaotong
University, Xi'an 710049, China
Qian Zhang
Key Laboratory of Northwest Resource, Environment and Ecology, MOE,
Xi'an University of Architecture and Technology, Xi'an 710055, China
Yali Lei
Key Lab of Geographic Information Science of the Ministry of
Education, School of Geographic Sciences, East China Normal University,
Shanghai 200241, China
Tian Zhang
Department of Environmental Science and Engineering, Xi'an Jiaotong
University, Xi'an 710049, China
Shasha Huang
Department of Environmental Science and Engineering, Xi'an Jiaotong
University, Xi'an 710049, China
Jian Sun
Department of Environmental Science and Engineering, Xi'an Jiaotong
University, Xi'an 710049, China
Hongmei Xu
Department of Environmental Science and Engineering, Xi'an Jiaotong
University, Xi'an 710049, China
Junji Cao
Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth
Environment, Chinese Academy of Sciences, Xi'an 710061, China
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Cited
33 citations as recorded by crossref.
- Strong primary contribution to brown carbon light absorption in Tibet and urban areas: insights based on in situ measurements W. Zhao et al.
- Measurement report: Formation of tropospheric brown carbon in a lifting air mass C. Wu et al.
- Dithiothreitol oxidative potential (OP) of PM2.5 in Beijing: Quantitative contribution of metals to OP and its prediction based on machine learning models Y. Ma et al.
- Insight into the Role of NH3/NH4+ and NOx/NO3– in the Formation of Nitrogen-Containing Brown Carbon in Chinese Megacities D. Wang et al.
- The future of environmental health modeling: leveraging artificial intelligence to combat air pollution challenges B. Zhang & J. Sun
- Oligomeric amide formation in secondary organic aerosol from the photooxidation of aromatics in the presence of ammonia P. Dao et al.
- Spectral characteristics of water-soluble Brown carbon and it's radiative impacts on the atmosphere of Dhaka, Bangladesh M. Hossen et al.
- Characterization of water−soluble brown carbon in atmospheric fine particles over Xi'an, China: Implication of aqueous brown carbon formation from biomass burning Y. Lei et al.
- The Sources and Atmospheric Processes of Strong Light‐Absorbing Components in Water Soluble Brown Carbon: Insights From a Multi‐Proxy Study of PM2.5 in 10 Chinese Cities Y. Mo et al.
- Advances in air quality modeling through artificial intelligence, machine learning, and deep learning: A comprehensive review D. Nelson et al.
- Machine-learning-assisted chemical characterization and optical properties of atmospheric brown carbon in Nanjing, China Y. Huang et al.
- Toxicity source apportionment of fugitive dust PM2.5-bound polycyclic aromatic hydrocarbons using multilayer perceptron neural network analysis in Guanzhong Plain urban agglomeration, China Q. Zhang et al.
- Measurement report: Optical and structural properties of atmospheric water-soluble organic carbon in China – insights from multi-site spectroscopic measurements H. Chen et al.
- Brown carbon unveiled: Molecular complexity, observational frontiers, and climate forcing T. Yang et al.
- Characterization of fine particulate matter water-soluble inorganic ions and estimation of aerosol acidity at three COALESCE network sites — Mysuru, Bhopal, and Mesra — in India A. Dhandapani et al.
- Variations in optical properties of water- and methanol-soluble organic carbon in PM2.5 in Tianjin and Handan over the Wintertime of 2018–2020 H. Chen et al.
- Measurement report: Optical characterization, seasonality, and sources of brown carbon in fine aerosols from Tianjin, North China: year-round observations Z. Dong et al.
- Insight into the characteristics and source apportionment of PM2.5 oxidative potential over Xi'an, China G. Bai et al.
- Application of machine learning in atmospheric pollution research: A state-of-art review Z. Peng et al.
- Distribution characteristics and optical properties of carbonaceous aerosol: brown carbon and black carbon in Nanchang, inland China C. Zou et al.
- Light absorption property, oxidative potential and chemical composition of organic carbon emitted from the combustion of representative coals in China H. Na et al.
- Emission characteristics and optical properties of brown carbon during combustion of pine at different ignition temperatures under high-time resolution J. Cai et al.
- Contribution of PAHs and NACs to brown carbon light absorption in PM2.5 in Nanchang, Southern China H. Huang et al.
- Molecular-Level Chromophoric Profiles of Brown Carbon from Residential Biomass Burning and Coal Combustion T. Wang et al.
- Seasonal variability and sources of brown carbon in Wuhan: Insights from Bayesian modeling and organic tracers-based source apportionment Z. Li et al.
- Variability in molecular composition and optical absorption of atmospheric brown carbon aerosols in two contrasting urban areas of China Y. Lin et al.
- Both emissions and ageing altered brown carbon aerosols in the East Asian outflow C. Zhu et al.
- Nitroaromatic compounds in six major Chinese cities: Influence of different formation mechanisms on light absorption properties S. Huang et al.
- Nocturnal evolution of physicochemical characteristics of water-soluble and insoluble organic aerosols in a polluted environment: New insights from a combined online and offline study M. Anand et al.
- Reshaping metal composition and sources to reduce PM2.5 oxidative potential by clean energy policies in Xi'an, China L. Zhang et al.
- Quantifying spectral absorption of carbonaceous aerosols using a tracer-guided least-square method and the impacts on radiative forcing estimation W. Wang et al.
- Insights the dominant contribution of biomass burning to methanol-soluble PM2.5 bounded oxidation potential based on multilayer perceptron neural network analysis in Xi'an, China Y. Luo et al.
- The impacts of pollution sources and temperature on the light absorption of HULIS were revealed by UHPLC-HRMS/MS at the molecular structure level T. Qiu et al.
33 citations as recorded by crossref.
- Strong primary contribution to brown carbon light absorption in Tibet and urban areas: insights based on in situ measurements W. Zhao et al.
- Measurement report: Formation of tropospheric brown carbon in a lifting air mass C. Wu et al.
- Dithiothreitol oxidative potential (OP) of PM2.5 in Beijing: Quantitative contribution of metals to OP and its prediction based on machine learning models Y. Ma et al.
- Insight into the Role of NH3/NH4+ and NOx/NO3– in the Formation of Nitrogen-Containing Brown Carbon in Chinese Megacities D. Wang et al.
- The future of environmental health modeling: leveraging artificial intelligence to combat air pollution challenges B. Zhang & J. Sun
- Oligomeric amide formation in secondary organic aerosol from the photooxidation of aromatics in the presence of ammonia P. Dao et al.
- Spectral characteristics of water-soluble Brown carbon and it's radiative impacts on the atmosphere of Dhaka, Bangladesh M. Hossen et al.
- Characterization of water−soluble brown carbon in atmospheric fine particles over Xi'an, China: Implication of aqueous brown carbon formation from biomass burning Y. Lei et al.
- The Sources and Atmospheric Processes of Strong Light‐Absorbing Components in Water Soluble Brown Carbon: Insights From a Multi‐Proxy Study of PM2.5 in 10 Chinese Cities Y. Mo et al.
- Advances in air quality modeling through artificial intelligence, machine learning, and deep learning: A comprehensive review D. Nelson et al.
- Machine-learning-assisted chemical characterization and optical properties of atmospheric brown carbon in Nanjing, China Y. Huang et al.
- Toxicity source apportionment of fugitive dust PM2.5-bound polycyclic aromatic hydrocarbons using multilayer perceptron neural network analysis in Guanzhong Plain urban agglomeration, China Q. Zhang et al.
- Measurement report: Optical and structural properties of atmospheric water-soluble organic carbon in China – insights from multi-site spectroscopic measurements H. Chen et al.
- Brown carbon unveiled: Molecular complexity, observational frontiers, and climate forcing T. Yang et al.
- Characterization of fine particulate matter water-soluble inorganic ions and estimation of aerosol acidity at three COALESCE network sites — Mysuru, Bhopal, and Mesra — in India A. Dhandapani et al.
- Variations in optical properties of water- and methanol-soluble organic carbon in PM2.5 in Tianjin and Handan over the Wintertime of 2018–2020 H. Chen et al.
- Measurement report: Optical characterization, seasonality, and sources of brown carbon in fine aerosols from Tianjin, North China: year-round observations Z. Dong et al.
- Insight into the characteristics and source apportionment of PM2.5 oxidative potential over Xi'an, China G. Bai et al.
- Application of machine learning in atmospheric pollution research: A state-of-art review Z. Peng et al.
- Distribution characteristics and optical properties of carbonaceous aerosol: brown carbon and black carbon in Nanchang, inland China C. Zou et al.
- Light absorption property, oxidative potential and chemical composition of organic carbon emitted from the combustion of representative coals in China H. Na et al.
- Emission characteristics and optical properties of brown carbon during combustion of pine at different ignition temperatures under high-time resolution J. Cai et al.
- Contribution of PAHs and NACs to brown carbon light absorption in PM2.5 in Nanchang, Southern China H. Huang et al.
- Molecular-Level Chromophoric Profiles of Brown Carbon from Residential Biomass Burning and Coal Combustion T. Wang et al.
- Seasonal variability and sources of brown carbon in Wuhan: Insights from Bayesian modeling and organic tracers-based source apportionment Z. Li et al.
- Variability in molecular composition and optical absorption of atmospheric brown carbon aerosols in two contrasting urban areas of China Y. Lin et al.
- Both emissions and ageing altered brown carbon aerosols in the East Asian outflow C. Zhu et al.
- Nitroaromatic compounds in six major Chinese cities: Influence of different formation mechanisms on light absorption properties S. Huang et al.
- Nocturnal evolution of physicochemical characteristics of water-soluble and insoluble organic aerosols in a polluted environment: New insights from a combined online and offline study M. Anand et al.
- Reshaping metal composition and sources to reduce PM2.5 oxidative potential by clean energy policies in Xi'an, China L. Zhang et al.
- Quantifying spectral absorption of carbonaceous aerosols using a tracer-guided least-square method and the impacts on radiative forcing estimation W. Wang et al.
- Insights the dominant contribution of biomass burning to methanol-soluble PM2.5 bounded oxidation potential based on multilayer perceptron neural network analysis in Xi'an, China Y. Luo et al.
- The impacts of pollution sources and temperature on the light absorption of HULIS were revealed by UHPLC-HRMS/MS at the molecular structure level T. Qiu et al.
Saved (final revised paper)
Latest update: 02 May 2026
Short summary
The optical properties and molecular structure of atmospheric brown carbon (BrC) in winter of several megacities in China were analyzed, and the source contribution of brown carbon was improved by using positive matrix factorization coupled with a multilayer perceptron neural network. These results can provide a basis for the more effective control of BrC to reduce its impacts on regional climates and human health.
The optical properties and molecular structure of atmospheric brown carbon (BrC) in winter of...
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